Image Encryption Scheme Based on Dual Hyper-Chaotic Recurrent Neural Networks

Abstract:

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Based on two hyper-chaotic recurrent neural networks, a new image encryption scheme is presented in this paper. In the encryption scheme, the shuffling matrix is generated by using a Hopfield neural network, which is used to shuffle the pixels location; the diffusing matrix is generated by using a cellular neural network, which is used to diffuse the pixels grey value by OXR operation. Finally, through numerical simulation and security analysis, the effectiveness of the encryption scheme is verified. Duo to the complex dynamical behavior of the hyper-chaotic systems, the encryption scheme has the advantage of large secret key space and high security, and can resist brute-force attacks and statistical attacks effectively.

Info:

Periodical:

Key Engineering Materials (Volumes 474-476)

Edited by:

Garry Zhu

Pages:

599-604

DOI:

10.4028/www.scientific.net/KEM.474-476.599

Citation:

E. Z. Dong et al., "Image Encryption Scheme Based on Dual Hyper-Chaotic Recurrent Neural Networks", Key Engineering Materials, Vols. 474-476, pp. 599-604, 2011

Online since:

April 2011

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Price:

$35.00

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